{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"18b212478757","filters":{"venue":"American journal of student research."}},"results":[{"id":"W4413001411","doi":"10.70251/hyjr2348.34198204","title":"Who Cares? Unpaid Labor, Human Capital and Inequality In India","year":2025,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Heritage","funders":"University of Oxford","keywords":"Inequality; Labour economics; Human capital; Unpaid work; Economics; Capital (architecture); Gender inequality; Demographic economics; Economic growth; Geography; Mathematics; Work (physics); Engineering","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.1186260423865012,"gpt":0.550472524595772,"spread":0.4318464822092707,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003823744,0.0001240605,0.0005136279,0.0006677963,0.0006764843,0.0000253053,0.0003448348,0.00004692703,0.00004950191],"category_scores_gemma":[0.0003214929,0.00009588648,0.00005059117,0.0008938078,0.0005716631,0.0001247148,0.0005364969,0.00142221,0.000006703685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002904805,"about_ca_system_score_gemma":0.0003187541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908571,"about_ca_topic_score_gemma":0.000994747,"domain_scores_codex":[0.9960686,0.001697152,0.0007453932,0.0001808056,0.0007423714,0.0005656721],"domain_scores_gemma":[0.9978676,0.0008646005,0.0002916104,0.0001795573,0.0006532902,0.0001433036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007439644,0.0001106274,0.9651139,0.00006105276,0.00008942594,0.00005027882,0.01825897,2.52577e-7,0.0001031691,0.009530854,0.004225372,0.002381661],"study_design_scores_gemma":[0.0009329844,0.0005930699,0.9123612,0.0004239378,0.00001015065,6.991341e-7,0.08070434,1.756372e-7,0.00001275951,0.001700132,0.003188463,0.00007208177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881009,0.001203344,0.000003006754,0.005277666,0.0001739714,0.0003185438,0.000006205109,0.000008511426,0.004907848],"genre_scores_gemma":[0.9971471,0.0009851054,0.00001671582,0.0004819908,0.0001480798,0.00002506993,0.000001155415,0.00001021942,0.001184578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06244536,"threshold_uncertainty_score":0.6178873,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405853118","doi":"10.70251/hyjr2348.24190196","title":"The War of 1812 and the Legacy of Nationalism","year":2024,"lang":"en","type":"article","venue":"American journal of student research.","topic":"American Constitutional Law and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nationalism; Politics; Democracy; Spanish Civil War; Independence (probability theory); Political science; Dominance (genetics); Law; Political economy; History; Sociology","authors":[{"name":"Oliver Chi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06851237396480003,"gpt":0.4640099711565108,"spread":0.3954975971917107,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004957823,0.00004361862,0.0001666612,0.00009417404,0.0004410837,0.00007658391,0.0004471256,0.00001140568,0.0000240491],"category_scores_gemma":[0.0005997741,0.00002187712,0.00008956999,0.0004695444,0.01315675,0.0001283994,0.0000791,0.0002808044,0.00000172583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005949617,"about_ca_system_score_gemma":0.001556682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002621715,"about_ca_topic_score_gemma":0.0001095525,"domain_scores_codex":[0.9972963,0.0007036087,0.0003074389,0.00005847103,0.001441969,0.0001922169],"domain_scores_gemma":[0.9951242,0.003847601,0.000179429,0.00008254116,0.0006815285,0.00008466296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004433503,0.00002026813,0.001224709,0.000005390653,0.00009215674,0.000004948692,0.005791987,0.000004532297,0.00002255848,0.9839988,0.0008879724,0.007902314],"study_design_scores_gemma":[0.0005278353,0.0004254809,0.01188418,0.0001430508,0.0000590558,0.00003439851,0.1366072,0.00001867544,0.00006079506,0.01571651,0.8344351,0.00008766996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8441647,0.01439584,0.000171748,0.04888872,0.0004149105,0.0002612298,0.00001596814,0.000006940274,0.09167995],"genre_scores_gemma":[0.9954988,0.003577094,0.00007075314,0.00005621418,0.000260069,0.000002133808,1.362888e-7,0.000003212284,0.0005316359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9682823,"threshold_uncertainty_score":0.9895289,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401932606","doi":"10.70251/hyjr2348.228092","title":"A Comparative Analysis of Gain-of-Function Research and Future Perspectives","year":2024,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Earl Haig Secondary School","funders":"","keywords":"Gain of function; Function (biology); Pandemic; Engineering ethics; Political science; Management science; Coronavirus disease 2019 (COVID-19); Medicine; Engineering; Biology","authors":[{"name":"Yifan Zhuo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07355716339449213,"gpt":0.4203679871038724,"spread":0.3468108237093803,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002389127,0.0001058008,0.0005750472,0.002082209,0.0000721222,0.00006800429,0.0002853079,0.00003416541,0.00005168079],"category_scores_gemma":[0.00002584975,0.00008504957,0.0001398238,0.004460254,0.0009888808,0.0001558793,0.0000998288,0.001023274,0.000002007223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182561,"about_ca_system_score_gemma":0.00008096743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005802994,"about_ca_topic_score_gemma":0.00003386548,"domain_scores_codex":[0.9973917,0.0003689295,0.0004054064,0.0001622471,0.001357248,0.0003144687],"domain_scores_gemma":[0.9977089,0.0008330767,0.00008276439,0.0001782544,0.001064664,0.0001324115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002106615,0.001645315,0.0770301,0.0008781911,0.06346697,0.0006258394,0.4148004,0.1502522,0.03817537,0.03492745,0.0200202,0.1960714],"study_design_scores_gemma":[0.0005948234,0.006553079,0.4136737,0.0006365905,0.0008137603,0.00004098186,0.5286008,0.04187824,0.001580436,0.0007150463,0.00457902,0.0003335633],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846699,0.01239826,0.0007002329,0.0002471941,0.0001054513,0.0001116444,0.000007146768,0.00001576015,0.001744446],"genre_scores_gemma":[0.9956555,0.003748576,0.0001944895,0.000001185233,0.0003475862,0.00000480361,0.00000114986,0.0000144185,0.00003224436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3366436,"threshold_uncertainty_score":0.4445671,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404621486","doi":"10.70251/hyjr2348.246165","title":"Effect of Myrosinase Enzyme Encoding Gene Knockout on the Bitter Taste of Broccoli: A CRISPR-Cas9 Experimental Proposal","year":2024,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Aurora College","funders":"","keywords":"Myrosinase; CRISPR; Bitter taste; Taste; Gene; Enzyme; Biology; Genetics; Biochemistry; Botany; Glucosinolate","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04786486842544711,"gpt":0.424480142842401,"spread":0.3766152744169539,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002564645,0.0001747615,0.0005417985,0.0004348991,0.0001121089,0.00009869628,0.0004951546,0.00004186047,0.00004158369],"category_scores_gemma":[0.000168997,0.00009627973,0.000361386,0.0007543807,0.0008651042,0.00007658375,0.0001756036,0.0007185806,0.000005606878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001753924,"about_ca_system_score_gemma":0.00005750456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001498964,"about_ca_topic_score_gemma":0.000001681028,"domain_scores_codex":[0.9963816,0.001009964,0.0006109087,0.0002211229,0.00143092,0.0003454288],"domain_scores_gemma":[0.9980583,0.0009589297,0.0002963783,0.0002792162,0.0002873641,0.0001197935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009559519,0.000295148,0.0004858232,0.00006703485,0.0002255701,0.00008036843,0.001676249,0.000003811885,0.9778479,0.0001504659,0.005627008,0.01258467],"study_design_scores_gemma":[0.0002184944,0.009286996,0.000283015,0.0006568776,0.00007959601,0.0000533581,0.001308927,0.0001083062,0.9875035,0.0000516001,0.0003584539,0.00009082429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954994,0.001190063,0.00005607822,0.002581995,0.0001205359,0.0002039994,0.000005306028,0.00001738003,0.0003252772],"genre_scores_gemma":[0.9991463,0.00005380265,0.000432559,0.00009333252,0.0002052076,0.000006486187,7.680538e-7,0.00002592246,0.00003560855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01249385,"threshold_uncertainty_score":0.3926173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7103143665","doi":"10.70251/hyjr2348.365360","title":"Hybrid Supervised-Unsupervised CycleGAN for Virtual HER2 Immunohistochemistry from Hematoxylin and Eosin Stains","year":2025,"lang":"","type":"article","venue":"American journal of student research.","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brantford Energy (Canada)","funders":"","keywords":"H&E stain; Pattern recognition (psychology); Immunohistochemistry; Digital pathology; Fidelity; Breast cancer; Categorization","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03977468107641352,"gpt":0.3878409918000749,"spread":0.3480663107236614,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003936831,0.0005226932,0.001220671,0.0008753804,0.0009399882,0.001083627,0.003183599,0.0001166224,0.00004181554],"category_scores_gemma":[0.0004557306,0.0005280554,0.0004348565,0.001513935,0.00216199,0.0008509416,0.001562491,0.001864312,0.000007895623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156326,"about_ca_system_score_gemma":0.002197331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007335585,"about_ca_topic_score_gemma":0.00001810057,"domain_scores_codex":[0.992682,0.0009076191,0.001686547,0.001034375,0.002451595,0.001237887],"domain_scores_gemma":[0.9932154,0.001979906,0.0008291806,0.001138302,0.002233719,0.0006034934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002260264,0.001268567,0.0048008,0.0002500102,0.001757473,0.000282626,0.007961777,0.0001913095,0.1253317,0.00100408,0.006498094,0.8483933],"study_design_scores_gemma":[0.03323155,0.04975422,0.09662922,0.0103239,0.001254233,0.001012679,0.114771,0.06896932,0.5719592,0.02024182,0.02700629,0.004846601],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8797798,0.005951719,0.1078408,0.0042429,0.001170667,0.0007478435,0.00006901784,0.00002992357,0.000167309],"genre_scores_gemma":[0.9902449,0.003447706,0.00497451,0.0003318873,0.0006146608,0.00006160867,0.000004058129,0.00005307281,0.0002676254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8435467,"threshold_uncertainty_score":0.9999533,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7102593478","doi":"10.70251/hyjr2348.3510331045","title":"The Accuracy, Effectiveness, and Psychosocial Benefits of Continuous Glucose Monitors as Compared to Traditional Fingerstick Blood Glucose Monitoring in Type 1 Diabetic Populations: A Systematic Review","year":2025,"lang":"","type":"article","venue":"American journal of student research.","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Conestoga College","funders":"","keywords":"Fingerstick; Continuous glucose monitoring; Glycemic; Blood glucose monitoring; Crossover study; Psychosocial; Target range; Blood Glucose Self-Monitoring","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.08765699533189708,"gpt":0.4293790465675414,"spread":0.3417220512356444,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01010369,0.0003274588,0.001982132,0.001189226,0.000463802,0.0002401959,0.0009852267,0.00006414803,0.00001678051],"category_scores_gemma":[0.008460352,0.0002351296,0.000250479,0.003610576,0.0009690162,0.000185671,0.0004197131,0.001200472,0.00001254718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004169674,"about_ca_system_score_gemma":0.0005679131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001596177,"about_ca_topic_score_gemma":0.00001404651,"domain_scores_codex":[0.9910924,0.002876946,0.001901605,0.0003905262,0.002867957,0.000870595],"domain_scores_gemma":[0.9888253,0.007372642,0.0009030805,0.0004822396,0.002010366,0.0004063233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004523451,0.00691893,0.648738,0.2118462,0.007647076,0.0003309003,0.003972725,0.0002891633,0.001715479,0.002538756,0.001087051,0.1103923],"study_design_scores_gemma":[0.002720062,0.004530798,0.6898831,0.2940026,0.00144517,0.000009437434,0.006423476,0.0000241735,0.0003255389,0.0004014369,0.00003890143,0.000195345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8043424,0.1892983,0.000004727276,0.00219376,0.0006565967,0.003361558,0.000007222225,0.000004836855,0.000130504],"genre_scores_gemma":[0.9212132,0.0781358,0.00006482251,0.00005610371,0.0002738559,0.0001433403,0.000002299036,0.00002711878,0.00008352452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168707,"threshold_uncertainty_score":0.9998918,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407305029","doi":"10.70251/hyjr2348.316273","title":"AlphaFold: A Comprehensive Guide to the Revolutionary AI Tool and Its Methodology","year":2025,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brantford Energy (Canada)","funders":"California Institute of Technology","keywords":"Computer science; Engineering","authors":[{"name":"Shravan Saranyan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06765478966592033,"gpt":0.4771543197386862,"spread":0.4094995300727658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002029369,0.00009538517,0.0002171144,0.0001854444,0.0001704352,0.00002604603,0.0005314239,0.00003546007,0.000009270016],"category_scores_gemma":[0.0009922821,0.00006440945,0.0000662657,0.0003377673,0.0002630997,0.000005530361,0.000632295,0.0004318658,0.000007855903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003617639,"about_ca_system_score_gemma":0.000186574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002878287,"about_ca_topic_score_gemma":0.000009018505,"domain_scores_codex":[0.998018,0.0008175992,0.0003724386,0.000134394,0.0003972899,0.0002603196],"domain_scores_gemma":[0.9984518,0.0003157129,0.00015376,0.0002367026,0.0007537525,0.00008825435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001501442,0.0002929951,0.04947527,0.0001272755,0.001603465,0.00007030778,0.002846087,0.002911247,0.166051,0.006896253,0.6407822,0.1274424],"study_design_scores_gemma":[0.0006791578,0.003055514,0.1352464,0.00008659579,0.00003961015,0.000260492,0.004328723,0.0002874175,0.002843169,0.0001411244,0.8528711,0.0001606345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623106,0.003634698,0.01263776,0.0197479,0.0001676918,0.0003132129,0.000005279608,0.000004001857,0.001178877],"genre_scores_gemma":[0.9718891,0.002199317,0.01706374,0.006120293,0.0002991086,0.00001554943,0.000004096558,0.00001366446,0.002395115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2120889,"threshold_uncertainty_score":0.2626541,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7103201613","doi":"10.70251/hyjr2348.36171176","title":"Exploring the Benefits of Solving the Rubik’s Cube for Older Adults","year":2025,"lang":"","type":"article","venue":"American journal of student research.","topic":"Psychological Testing and Assessment","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brantford Energy (Canada)","funders":"","keywords":"Cognition; Mood; Population; Cube (algebra); Sample (material); Intervention (counseling); Cognitive skill","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.3317203466358762,"gpt":0.5079607815821108,"spread":0.1762404349462345,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008844903,0.0003255352,0.0008643538,0.0004803893,0.0009019582,0.0001912817,0.002890204,0.00006152086,0.0001049373],"category_scores_gemma":[0.001223089,0.0001719499,0.0005641757,0.001887599,0.002029114,0.0001352703,0.000600741,0.002077525,0.00001064824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001795115,"about_ca_system_score_gemma":0.0003081858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002145302,"about_ca_topic_score_gemma":0.000009581138,"domain_scores_codex":[0.9929692,0.002051537,0.001580205,0.0005060337,0.001714819,0.001178218],"domain_scores_gemma":[0.9863621,0.00967671,0.001249569,0.000913567,0.001585471,0.0002125634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001569337,0.002298774,0.02476171,0.0001174152,0.001640186,0.00002939235,0.02132003,0.0003125105,0.0001830897,0.008131834,0.009794224,0.9298415],"study_design_scores_gemma":[0.002953023,0.005595858,0.8493638,0.00321894,0.0001988626,0.00004969202,0.1268259,0.00006098939,0.0001769628,0.0007047455,0.01062225,0.0002289051],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662601,0.006184129,0.000559694,0.0179596,0.002095645,0.001105843,0.00001575578,0.0000106186,0.005808625],"genre_scores_gemma":[0.9936529,0.003999781,0.0003452985,0.0004801333,0.0007060859,0.0001871719,5.608636e-7,0.000030935,0.0005971295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9296126,"threshold_uncertainty_score":0.9025929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411722374","doi":"10.70251/hyjr2348.33163166","title":"Combating Vaccine Hesitancy in the Philippines: Bridging the Gap Through Visual Communication and Education","year":2025,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fields Institute for Research in Mathematical Sciences","funders":"","keywords":"Bridging (networking); Psychology; Political science; Computer science; Computer security","authors":[{"name":"Stella Brothers","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08200555884225158,"gpt":0.47801222696236,"spread":0.3960066681201084,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005346635,0.00006605853,0.0001703453,0.0001625655,0.001047281,0.0002245728,0.0007951045,0.00001703004,0.00001700671],"category_scores_gemma":[0.0005539543,0.00003968663,0.00004293071,0.001154763,0.0001403159,0.0003069655,0.0001240145,0.0005402644,0.000001539743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001386426,"about_ca_system_score_gemma":0.000437473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001827583,"about_ca_topic_score_gemma":0.001349478,"domain_scores_codex":[0.9969025,0.001725701,0.0003451145,0.00009519506,0.0006886346,0.0002428701],"domain_scores_gemma":[0.9978029,0.001334191,0.0002198235,0.0001992811,0.000409029,0.00003484296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006684975,0.0004975875,0.5959186,0.00001839415,0.00006526764,0.000008103287,0.1235267,0.000007746768,0.00006948269,0.04528034,0.0107768,0.2237641],"study_design_scores_gemma":[0.0003414513,0.0002166298,0.6536322,0.0002867731,0.00001817557,0.000007183899,0.3261224,0.00001310364,0.000008374975,0.008581365,0.01071137,0.00006089278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9029682,0.004644739,0.0001016934,0.08487777,0.0000655062,0.000253101,1.661451e-7,0.000004005111,0.007084793],"genre_scores_gemma":[0.9932638,0.005220245,0.000127129,0.001009649,0.000220902,0.0000119143,4.161121e-7,0.00000403325,0.0001419029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2237032,"threshold_uncertainty_score":0.8054945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414957700","doi":"10.70251/hyjr2348.35626636","title":"Flashbacks and Friendships: How Autobiographical Memory Can Be Used to Foster Social Learning","year":2025,"lang":"en","type":"article","venue":"American journal of student research.","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Centennial College","funders":"","keywords":"Autobiographical memory; Autism spectrum disorder; Recall; Perspective (graphical); Autism; Childhood memory; Childhood amnesia","authors":[{"name":"Nidhi Vaddi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1294211596466542,"gpt":0.4244735646831941,"spread":0.2950524050365399,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001315492,0.0001200755,0.0002412796,0.001023675,0.0006831202,0.0003511005,0.0004158286,0.00002702086,0.00002679524],"category_scores_gemma":[0.001371341,0.0001021817,0.00008942842,0.002342813,0.001089585,0.000177125,0.0002351802,0.0008869988,0.000004881245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000898096,"about_ca_system_score_gemma":0.0002659804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001371319,"about_ca_topic_score_gemma":0.00002297548,"domain_scores_codex":[0.9967579,0.00100284,0.0002474739,0.0003541962,0.001204588,0.0004330103],"domain_scores_gemma":[0.9983818,0.0007033232,0.000165587,0.0001031909,0.0003812574,0.0002648651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006089644,0.0008684919,0.1126834,0.0000293185,0.00006282187,0.0001598197,0.02418663,0.000009955057,0.6962469,0.003013202,0.01664961,0.1454809],"study_design_scores_gemma":[0.002508765,0.00744922,0.6592226,0.0002089375,0.00007187911,0.0001611974,0.130526,0.00004328567,0.1132131,0.000885735,0.08509681,0.0006124877],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466722,0.0000111856,0.0001892215,0.05095973,0.0003760764,0.0001735775,0.000002487846,0.00001635768,0.001599141],"genre_scores_gemma":[0.9948589,0.00004615615,0.00003533792,0.003638562,0.0001422663,0.00001308068,2.239669e-7,0.00001012119,0.001255305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5830337,"threshold_uncertainty_score":0.5254077,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}